python 口罩检测GUI界面
时间: 2023-07-07 13:36:31 浏览: 55
好的,我可以给你提供一个简单的Python口罩检测GUI界面的实现思路,可以用OpenCV进行图像处理和口罩检测,用Tkinter制作GUI界面。
1. 安装所需库:首先需要安装OpenCV和Tkinter库,可以使用pip命令安装:
```
pip install opencv-python
pip install tkinter
```
2. 导入所需库:在Python代码中导入所需库:
```python
import cv2
import tkinter as tk
from PIL import Image, ImageTk
```
3. 创建GUI界面:使用Tkinter创建GUI界面,可以添加一个按钮和一个标签:
```python
root = tk.Tk()
root.title("口罩检测")
root.geometry('600x400')
button = tk.Button(root, text='打开摄像头')
button.pack()
label = tk.Label(root)
label.pack()
```
4. 打开摄像头:用OpenCV打开摄像头,可以使用cv2.VideoCapture()函数实现:
```python
cap = cv2.VideoCapture(0)
```
5. 进行口罩检测:使用OpenCV进行图像处理和口罩检测,可以使用cv2.CascadeClassifier()函数加载Haar级联分类器,用于检测人脸和口罩,最后在图像上绘制矩形框和文字提示:
```python
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
mask_cascade = cv2.CascadeClassifier('haarcascade_mask.xml')
while True:
ret, frame = cap.read()
if ret:
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
roi_gray = gray[y:y+h, x:x+w]
roi_color = frame[y:y+h, x:x+w]
masks = mask_cascade.detectMultiScale(roi_gray, 1.3, 5)
if len(masks) == 0:
cv2.rectangle(roi_color, (10, 10), (w-10, h-10), (0, 0, 255), 2)
cv2.putText(roi_color, 'No Mask', (int(w/2)-50, int(h/2)), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)
else:
cv2.rectangle(roi_color, (10, 10), (w-10, h-10), (0, 255, 0), 2)
cv2.putText(roi_color, 'Mask', (int(w/2)-30, int(h/2)), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
# 显示图像
img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
img = Image.fromarray(img)
img = ImageTk.PhotoImage(img)
label.config(image=img)
label.image = img
# 等待按键事件
root.update()
```
6. 完成程序:最后添加一个按钮事件,用于打开或关闭摄像头:
```python
def button_click():
if button.config('text')[-1] == '打开摄像头':
button.config(text='关闭摄像头')
cap.open(0)
else:
button.config(text='打开摄像头')
cap.release()
button.config(command=button_click)
root.mainloop()
```
完整代码如下:
```python
import cv2
import tkinter as tk
from PIL import Image, ImageTk
root = tk.Tk()
root.title("口罩检测")
root.geometry('600x400')
button = tk.Button(root, text='打开摄像头')
button.pack()
label = tk.Label(root)
label.pack()
cap = cv2.VideoCapture(0)
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
mask_cascade = cv2.CascadeClassifier('haarcascade_mask.xml')
def button_click():
if button.config('text')[-1] == '打开摄像头':
button.config(text='关闭摄像头')
cap.open(0)
else:
button.config(text='打开摄像头')
cap.release()
button.config(command=button_click)
while True:
ret, frame = cap.read()
if ret:
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
roi_gray = gray[y:y+h, x:x+w]
roi_color = frame[y:y+h, x:x+w]
masks = mask_cascade.detectMultiScale(roi_gray, 1.3, 5)
if len(masks) == 0:
cv2.rectangle(roi_color, (10, 10), (w-10, h-10), (0, 0, 255), 2)
cv2.putText(roi_color, 'No Mask', (int(w/2)-50, int(h/2)), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)
else:
cv2.rectangle(roi_color, (10, 10), (w-10, h-10), (0, 255, 0), 2)
cv2.putText(roi_color, 'Mask', (int(w/2)-30, int(h/2)), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
# 显示图像
img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
img = Image.fromarray(img)
img = ImageTk.PhotoImage(img)
label.config(image=img)
label.image = img
# 等待按键事件
root.update()
```